multi_cluster_gen: Multiple cluster generation

In ConsensusClustering: Consensus Clustering

Multiple cluster generation

Description

Multiple cluster generation

Usage

multi_cluster_gen(X, func, rep = 10, param, method = "random")

Arguments

X	input data Nsample x Nfeatures or a distance matrix
func	custom function that accepts X and a parameter that return a vector of clusterings. cluster_func <- function(X, param)
rep	number of repeats
param	vector of parameters
method	method for the choice of k at each repeat c("random", "silhouette")

Details

At each repeat, k is selected randomly or based on the best silhouette width from a discrete uniform distribution between range.k[1] and range.k[2]. Then clustering is applied and result is returned.

Value

matrix of clusterings Nsample x Nrepeat

Examples

X = gaussian_clusters()$X
cluster_func = function(X, k){return(stats::kmeans(X, k)$cluster)}
Clusters = multi_cluster_gen(X, cluster_func, param = c(2,3))

ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.